DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING : PART 2 - RNNBy Roopal Garg
DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING : PART 1 – WORD EMBEDDINGSBy Roopal Garg
Deep Learning is a buzz word that gets thrown around a lot these days. It’s thought of the “next big thing” which has already started turning many heads and convinced many who initially thought of it as a bubble.
STRESS-TESTING APACHE MXNET FOR TRAINING DETECTION CNNSBy Cambron Carter
Detection is one of many classic computer vision problems that has significantly improved with the adoption of convolutional neural networks (CNNs). When CNNs rose to popularity for image classification, many relied on crude and expensive preprocessing routines for generating region-proposals.
GUMSMASH – AN IN HOUSE, EVENT DRIVEN AUTO-REMEDIATION ENGINE ON TOP OF ANSIBLEBy Florian Dambrine
This is a first post in the series of three posts on GumSmash, an In-House event driven auto-remediation engine based on Ansible, that we developed at GumGum.